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Assistant Professor; Limited Term

Job in New York City, Richmond County, New York, USA
Listing for: Columbia University
Full Time, Part Time, Seasonal/Temporary position
Listed on 2026-03-03
Job specializations:
  • Education / Teaching
    University Professor, Academic, Faculty
Job Description & How to Apply Below
Position: Assistant Professor (Limited Term)

The Department of Statistics invites applications for four-year term positions at the rank of Assistant Professor to begin July 1, 2026. The initial term of appointment is one academic year with the possibility of renewal for three additional years. A PhD in statistics or a related field is required by the date of appointment, as is a commitment to high quality research and teaching in statistics and/or probability.

Candidates will be expected to sustain an active research and publication agenda and to teach in the departmental undergraduate and graduate programs. Candidates with expertise in machine learning, big data, mathematical finance and probability theory are particularly encouraged to apply.

The department expects to support successful candidates with a generous research allowance. The expected teaching load is three semester-long courses per year.

The department currently consists of 40 faculty members and 60 PhD students. The department has been expanding rapidly and, like the University itself, is an extraordinarily vibrant academic community. We are especially interested in candidates who, through their research, teaching and/or service will contribute to the excellence of the academic community. For further information about the department and our activities, centers, research areas, and curricular programs, please go to our web page at: http://(Use the "Apply for this Job" box below)..edu

PhD in statistics or a related field by the date of appointment is required, as is a commitment to high quality research and teaching in statistics and/or probability.

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Pay Transparency Disclosure

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Required

Preferred

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